Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.
Multi-agent systems: an introduction to distributed artificial intelligence
Kenetics is thus the new science which Ferber would like to see appear, dealing with collective action and interaction. The main questions that can be asked are; what actions can the agent perform, what are its relationships to the world (perception and the way that The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learning processes is of great significance to fields concerned with understanding intelligence. Such fields include
Empirical methods for artificial intelligence
Roughly 80% of the papers made no attempt to explain performance, to tell us why it was good or bad and under which conditions it might be better or worse. Only 16% of the papers offered anything that might be interpreted as a question or a hypothesis. Theory papers
Principles of artificial intelligence and expert systems development
Artificial Intelligence : A Modern Approach. A comprehensive reference for all the AI topics that we will cover. Koller and Friedman. Most or all of the grading code may incidentally work on other systems such as MacOS or Windows, and students may optionally choose to
Artificial general intelligence
it Artificial General Intelligence (AGI). What distinguishes AGI work from run-of-the-mill artificial intelligence research is that it is explicitly focused on engineering general intelligence in the short term. We have been active
Deep machine learning-a new frontier in artificial intelligence research
Mimicking the efficiency and robustness by which the human brain represents information has been a core challenge in artificial intelligence research for decades. Humans are exposed to myriad of sensory data received every second of the day and are somehow able
Encyclopedia of artificial intelligence second edition
Think about the process by which you understand what you see. Can you determine what is happening and how it is happening when you look out the window and notice that your best friend is walking toward your door As you may guess, the process by which you arrived at
Mathematical methods in artificial intelligence
Teaching an AI course presents a problem. The eld is so broad that an attempt to cover most of it is bound to result in a fairly shallow survey course. Nevertheless, it is important to discuss some important tools of AI in some depth. The tools can be roughly divided into three types: tools
Explainable artificial intelligence (xai)
Page 1. Explainable Artificial Intelligence (XAI) David Gunning DARPA/I2O Program Update November 2017 Approved for public release: distribution unlimited. FY18 FY19 FY20 FY21 FY17 Page 2 Elon Musk and Mark Zuckerberg Are Arguing About AI- But Theyre Both Missing the Point
Applications of artificial intelligence for organic chemistry
Stephen Hawking warns artificial intelligence could end mankind
Page 1. Technology 2 December 2014 Stephen Hawking warns artificial intelligence could end mankind By Rory Cellan-Jones Technology correspondent Stephen Hawking: Humans, who are limited by slow biological evolution, couldnt compete and would be superseded Prof Stephen
Searching for solutions in games and artificial intelligence
The research presented in this thesis would have been impossible without the help of many persons, whom I want to recognize here. First of all, I would like to thank Jaap van den Herik for being my teacher. Jaap created an environment generously providing an abundance of C urrent AI technology can do a good job of emulating many of mans higher mental functions, but some of themost fundamental aspects of human intelligence have proven more elusive. Al can match the best human experts on certain narrow technical prob-lems
Artificial intelligence and virtual organizations
AVIRTUAL COMPANY HAS BEEN DEFINED AS ONE where complementary resources existing in a number of cooperating companies are left in place, but are integrated to support a particular product effort for as long as it is viable to do so. Resources are selectively
A Survey of Artificial Intelligence for Prognostics.
Abstract Integrated Systems Health Management includes as key elements fault detection, fault diagnostics, and failure prognostics. Whereas fault detection and diagnostics have been the subject of considerable emphasis in the Artificial Intelligence (AI) community in the
The handbook of artificial intelligence
The HandbookofArtificial Intelli-gence, makes thefull scope of important techniquesand concepts ofartificial intelligence available to therapidly-expanding world of computertechnologists andusers. The Handbook, writtenin plain English for peoplewithout Page 4. Toshinori Munakata Fundamentals of the New Artificial Intelligence Neural, Evolutionary, Fuzzy and More Second Edition Page 5. Toshinori Munakata Computer and Information Science
Artificial intelligence and molecular biology
The twin goals of artificial intelligence research are to understand the computational mechanisms underlying human-like thought and behavior, and to design and synthesize comparable machines. Despite their inherent generality, these goals are best served by Artificial Intelligence, or AI, has already received a lot of buzz in recent years, but it continues to be a trend to watch because its effects on how we live, work and play are only in the early stages. In addition, other branches of AI have developed, including Machine Learning, which we will go into below. AI refers to computers systems built to mimic human intelligence and perform tasks such as recognition of images, speech or patterns and decision making. AI can do these tasks faster and more accurately than humans.
Industries Currently Using Artificial Intelligence
The self-driving car is probably the best-known use of AI.
Predictive maintenance is another part of AI, forecasting when maintenance will be needed so it can be done proactively
AI is used in transportation, such as for train scheduling and to help Uber drivers navigate routes.
Smart cities use AI to be more energy-efficient, reduce crime, and improve safety. The many applications of AI today are countless, and growing in number all the time.
Many big brands are already using AI, including IBM, Amazon, Microsoft, and Accenture.